When AI Controls the Physical World, Governance Isn't Optional.
Robots, autonomous vehicles, and physical AI systems need the same security and governance as software agents — with the stakes of real-world consequences. RuntimeAI is the Control Plane for Physical AI.
The Challenges Physical AI Operators Face Today
When AI systems control physical environments, ungoverned behavior isn't a compliance problem — it's a safety problem.
Safety Is a Governance Problem
"Our autonomous robots operate 24/7 — if one gets compromised, people get hurt." Physical AI systems that lack behavioral governance are a safety liability, not just a security liability.
Regulators Demand Auditability
"We can't prove to regulators that our autonomous systems followed approved policies." Regulators increasingly demand auditable trails for every autonomous decision — and the burden of proof falls on operators.
Silent Behavioral Drift Is Dangerous
"A software update pushed to our fleet of 200 robots accidentally changed behavior — we caught it three days later." Without continuous behavioral monitoring, unauthorized changes in physical AI go undetected until something breaks — or someone gets hurt.
From Unmonitored Machines to Governed Physical AI
Real outcomes from physical AI operators who deployed RuntimeAI.
A logistics company's warehouse robots began exhibiting erratic path-planning behavior after a model update — but nobody detected it for 72 hours. Three near-miss incidents occurred before a human noticed.
RuntimeAI's continuous behavioral monitoring detected the drift within 4 minutes of the first anomalous movement pattern. The affected units were safely quarantined before a single incident. Root cause was traced to the model update within 20 minutes.
A medical device company deploying AI-guided surgical assistance needed to prove to FDA reviewers that every autonomous action was within approved operating parameters — across 18 months of procedures.
RuntimeAI provided a complete, timestamped record of every autonomous action, the policy version governing it, and whether any policy boundary was approached. FDA review completed in 6 weeks instead of 6 months.
An autonomous vehicle operator needed to enforce jurisdiction-specific rules across a fleet of 500 vehicles operating across 12 states — each with different regulatory requirements.
RuntimeAI's location-aware policy engine applies the correct regulatory ruleset to each vehicle based on its real-time position. Jurisdiction violations dropped to zero. Compliance reporting is fully automated.
Compliance & Certifications
Physical AI you can trust. Outcomes you can prove to safety regulators and auditors.
Security, Control and Governance for Physical AI
Every autonomous action governed. Every behavioral change detected in real time. Every regulator satisfied. See it live in a 30-minute demo.